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Code to calculate clusters using a Dirichlet Process
Gaussian mixture model.
Requires scikit-learn:
import numpy
from sklearn import mixture
FILENAME = "mcdonalds-normalized-data.tsv"
# Note: you'll have to remove the last "name" column in the file (or
# some other such thing), so that all the columns are numeric.
x = numpy.loadtxt(open(FILENAME, "rb"), delimiter = "\t", skiprows = 1)
dpgmm = mixture.DPGMM(n_components = 25)
clusters = dpgmm.predict(x)
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